David Ho

1.4k citations
18 papers · 1.0k indexed · h-index 15

Impact in

Papers in

David Ho

18 papers receiving 1.0k citations

Peers

David Ho
Comparison fields: 5 of 96
  • Cognitive Neuroscience 251
  • Sensory Systems 54
  • Cellular and Molecular Neuroscience 197
  • Organic Chemistry 280
  • Electronic, Optical and Magnetic Materials 123
Replace Yuanjun Gao with:
Yuanjun Gao China
Gareth D. Price Canada
Andreas Schulz Germany
Cheng Ouyang China
Ichiro Fujita Japan
Alexander Goldberg United States
J. Takács Hungary
Shan Chen China
Tetsuro Katayama Japan
Roberta Tatti Italy
David Ho relative to Yuanjun Gao China Yuanjun Gao's profile →
Citations per field
00.5×3.2×
Yuanjun Gao · 1×
Citations per year

Countries citing papers authored by David Ho

Since Specialization
Citations

This map shows the geographic impact of David Ho's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ho more than expected).

Fields of papers citing papers by David Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Ho. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Ho. The network helps show where David Ho may publish in the future.

Co-authorship network

The 25 scholars most cited alongside David Ho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Ho Line = papers co-authored together David Ho links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202227
2 20216
3 202156
4 202069
5
Elucidating the Design and Behavior of Nanophotonic Structures through Explainable Convolutional Neural Networks
20201
6 20202
7 201772
8 2013230
9 200717
10 200627
11 200646
12 200535
13 200365
14 200215
15 2002233
16 200273
17 200143
18 200127

About David Ho

David Ho is a scholar working on Organic Chemistry, Sensory Systems, Pharmaceutical Science, Inorganic Chemistry and Surfaces, Coatings and Films, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Synthetic Organic Chemistry Methods (3 papers), Photonic Crystals and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Metal complexes synthesis and properties (2 papers), Asymmetric Synthesis and Catalysis (2 papers), Metamaterials and Metasurfaces Applications (2 papers), Organometallic Complex Synthesis and Catalysis (2 papers) and Porphyrin and Phthalocyanine Chemistry (2 papers). The work is most often cited by research in Cognitive Neuroscience (251 citations), Sensory Systems (54 citations), Cellular and Molecular Neuroscience (197 citations), Organic Chemistry (280 citations) and Electronic, Optical and Magnetic Materials (123 citations). David Ho has collaborated with scholars based in United States. Frequent co-authors include Matthias Selke, Ruomei Gao, Billy Hernandez, Mayank Mehta, Ashley L. Kees, Pascal Ravassard, Michael E. Jung, Drew Murphy, Mark E. Thompson and Peter I. Djurovich. Their work appears in journals such as Science, Organic Letters, Journal of the American Chemical Society, Advanced Optical Materials and Chemical Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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